Javascript must be enabled for the correct page display

Modelling paradigms in movement ecology

Damhuis, Joris (2022) Modelling paradigms in movement ecology. Master's Thesis / Essay, Ecology and Evolution.

[img]
Preview
Text
mEE_2022_DamhuisJ.pdf

Download (1MB) | Preview
[img] Text
toestemming.pdf
Restricted to Registered users only

Download (126kB)

Abstract

Organisms can move in a wide variety of ways and for many different reasons. The processes leading to and affected by movement have become the subject of the field of movement ecology. The introduction of the `movement ecology framework' by Nathan et al. and the recent technological advancements of the methods for the collection of movement data have lead to an increase in the use of models to study movement. The type of model employed is dependent on the research questions and the system being studied. This review focuses on two modelling paradigms in movement ecology and their applications in research. The first I call parameterisation, because stochastic models are used here in order to determine the importance of potential factors in influencing the movement path of an individual. By comparing summary statistics of various simulations of these models with summary statistics of observed movement paths, the models can be parameterised to most closely resemble the processes at play in nature. The second paradigm focuses on the observation of evolutionary patterns in individual based models. In these models, traits affecting movement decisions are evolvable and can lead to interesting spatial and temporal dynamics, which can give insights into the evolutionary causes and consequences of movement. With the use of case studies, potential applications of the two paradigms are demonstrated and ways in which these methods have advanced our knowledge of movement are explained.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Weissing, F.J.
Degree programme: Ecology and Evolution
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 06 Sep 2022 12:36
Last Modified: 06 Sep 2022 12:36
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/28574

Actions (login required)

View Item View Item